MPEcho: A Melody and Phoneme-Aware Generative Framework for Controllable Cover Song Generation

Cover song generation (CSG) should preserve the melodic and linguistic content of a reference song while recreating the remaining musical components. The state-of-the-art model SongEcho utilizes $F_0$ sequences and voiced/unvoiced (V/UV) tags for conditioning; however, implicit linguistic information from V/UV tags cannot guarantee lyric accuracy, leading to a high phoneme error rate (PER). Ins…

Paper

Similar papers

© 2026 NYSGPT2525 LLC